Triple
T11598434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard W. Smith |
E275063
|
entity |
| Predicate | usedPositionTo |
P69119
|
FINISHED |
| Object | bottle up liberal legislation in the House Rules Committee |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: bottle up liberal legislation in the House Rules Committee | Statement: [Howard W. Smith, usedPositionTo, bottle up liberal legislation in the House Rules Committee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedPositionTo Context triple: [Howard W. Smith, usedPositionTo, bottle up liberal legislation in the House Rules Committee]
-
A.
positionUse
Indicates how a particular position or role is utilized or functionally applied within a given context.
-
B.
usedByPositionHolder
chosen
Indicates that something (such as a resource, tool, or asset) is utilized by the person or role currently holding a specific position.
-
C.
losesPositionAs
Indicates that one entity ceases to hold or occupy a particular role, status, or position in relation to another entity.
-
D.
usedAt
Indicates that something is employed, applied, or utilized at a particular place, time, or context.
-
E.
usedDuring
Indicates that one entity is employed, applied, or active in the course of another entity’s process, event, or time period.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89549c870819086e16e9110bbad87 |
completed | April 10, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_69d85dd20d188190863d1190d4c16048 |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.